Senior Back End Engineer, AI Products

Altruist•San Francisco, CA

59d•Hybrid

About The Position

Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients. We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you! We recently launched hazel.ai, an AI assistant that has ~10x'd users in one month and are excited to hire an AI engineer to build the AI engine at the heart of the product. This engine will: connect to our users' systems of record, parse and extract structured and unstructured information and deliver proactive insights that convert data into actionable outcomes (save time, taxes & fees).

Requirements

Experience - Prior experience building machine learning systems at scale, in a production setting. Have built and used ranking or recommender systems vector databases, search indices, or other data stores for search and retrieval use cases
Education - Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field
Foundations - A deep understanding of data structures, algorithms, and software engineering principles statistical underpinnings of machine learning and large language models
Technical aptitude - You have excellent problem solving skills, can break down a complex problem into simpler constituent parts know when to take a first principles approach and when not to reinvent the wheel
Superb communication - intentional dialogue is a superpower. You listen as well as you share your perspective with others
Resilience - We're inspired by your unwavering determination to achieve success, no matter the adversity you face along way

Nice To Haves

Familiarity with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and reinforcement learning based policy optimization

Responsibilities

Customer focused - Demonstrate an eagerness to Deeply understand the industry, the opportunity and our users Interact with them and learn about their frustrations
Design and execution - Architect robust systems across data, model and product layers that bring our vision to life
Build scalable data pipelines to store, sync and extract large amounts of information from unstructured and structured data
Optimize our search and retrieval infrastructure to parse all relevant extracted information to produce grounded, accurate and low latency responses to user queries
Collaborate with product managers and subject matter experts to build steerable AI systems
Craft and maintain evaluation datasets, scoring modules and integrate them into our deployment pipeline to continuously monitor and improve the quality of our AI products
Relentless - Proactively identify, unblock and mitigate risks that can minimize our chance of timely success
Leadership - Act as a leader and steward of engineering best practices, mentoring other engineers towards maximizing impact
Curiosity - Stay ahead of the curve with latest developments in machine learning, AI and how it can be leveraged to build industry leading products

Benefits

A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance.
Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
Competitive pay and equity for eligible positions.
Premium healthcare, dental, and vision insurance plans (HMO and PPO).
401k savings plan with a 4% match and immediate vesting.
16 week paid parental leave.
Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee.
Company perks program (includes discounts on pet insurance, fitness, cell phone plans, entertainment and travel, etc.).
Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.).
One month work from anywhere policy (with the exception of a few countries).